一种适用于特征选择的蚁群优化方法

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-04-01 DOI:10.1080/08839514.2024.2335098

Duygu Yilmaz Eroglu, Umut Akcan

引用次数: 0

摘要

随着信息技术的发展，它们产生了大量不断扩大的数据集。这些丰富的高维数据带来了各种挑战，包括计算需求的增加和数据处理的困难...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Adapted Ant Colony Optimization for Feature Selection

As information technologies evolve, they generate vast and ever-expanding datasets. This wealth of high-dimensional data presents challenges, including increased computational demands and difficult...

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.